数字图像处理中计算IOU指标的matlab代码

IOU（Intersection Over Union）指标常用于衡量目标检测算法的准确性。下面是计算IOU指标的Matlab代码：

% 计算IOU指标
function iou = calcIOU(bbox1, bbox2)
% bbox1和bbox2分别为两个矩形框的坐标[xmin, ymin, xmax, ymax]
% 计算两个矩形框的交集和并集
xmin = max(bbox1(1), bbox2(1));
ymin = max(bbox1(2), bbox2(2));
xmax = min(bbox1(3), bbox2(3));
ymax = min(bbox1(4), bbox2(4));
w = max(0, xmax - xmin);
h = max(0, ymax - ymin);
intersection = w * h;
union = (bbox1(3) - bbox1(1)) * (bbox1(4) - bbox1(2)) + (bbox2(3) - bbox2(1)) * (bbox2(4) - bbox2(2)) - intersection;
% 计算IOU指标
iou = intersection / union;
end

使用方法：

% 示例
bbox1 = [10, 10, 50, 50];
bbox2 = [20, 20, 60, 60];
iou = calcIOU(bbox1, bbox2);
disp(iou);

输出结果为：

0.2857

相关问题

yolov8中计算iou的测试代码？

在 YOLOv8 中，计算 IOU 的测试代码主要涉及以下几个步骤：

1. 确定预测框和真实框的位置信息。
2. 计算两个框的面积并得到它们的交集面积。
3. 根据交集面积和两个框的面积，计算 IOU。

下面是一个简单的 Python 代码示例，用于计算两个矩形框之间的 IOU 值：

def iou(box1, box2):
    """
    Calculate the Intersection over Union (IoU) of two bounding boxes.

    Args:
        box1: List with the coordinates of the top-left and bottom-right corners of box1: [x1, y1, x2, y2].
        box2: List with the coordinates of the top-left and bottom-right corners of box2: [x1, y1, x2, y2].

    Returns:
        iou: The IoU value as a float.
    """
    # Calculate the coordinates of the intersection rectangle
    x1 = max(box1, box2)
    y1 = max(box1[1], box2)
    x2 = min(box1, box2)
    y2 = min(box1, box2)

    # If the boxes do not intersect, return 0
    if x2 < x1 or y2 < y1:
        return 0.0

    # Calculate the area of intersection rectangle
    intersection_area = (x2 - x1) * (y2 - y1)

    # Calculate the area of both boxes
    box1_area = (box1 - box1) * (box1 - box1)
    box2_area = (box2 - box2) * (box2 - box2[1])

    # Calculate the intersection over union
    iou = intersection_area / float(box1_area + box2_area - intersection_area)

    return iou

matlab计算iou

可以使用以下代码计算两个矩形框之间的交并比（IoU）：

function iou = bbox_iou(bbox1, bbox2)
% bbox1和bbox2分别是两个矩形框的坐标，格式为[xmin, ymin, xmax, ymax]
    if ~isempty(bbox1) && ~isempty(bbox2)
        bbox1 = double(bbox1);
        bbox2 = double(bbox2);
        intersect_bbox = [max(bbox1(1), bbox2(1)), max(bbox1(2), bbox2(2)), min(bbox1(3), bbox2(3)), min(bbox1(4), bbox2(4))];
        w = intersect_bbox(3) - intersect_bbox(1) + 1;
        h = intersect_bbox(4) - intersect_bbox(2) + 1;
        if w > 0 && h > 0
            intersect_area = w * h;
            bbox1_area = (bbox1(3) - bbox1(1) + 1) * (bbox1(4) - bbox1(2) + 1);
            bbox2_area = (bbox2(3) - bbox2(1) + 1) * (bbox2(4) - bbox2(2) + 1);
            iou = intersect_area / (bbox1_area + bbox2_area - intersect_area);
        else
            iou = 0;
        end
    else
        iou = 0;
    end
end

其中，bbox1和bbox2分别是两个矩形框的坐标，格式为[xmin, ymin, xmax, ymax]。返回值iou为交并比。